Market Research

Global Merchant Fraud Prevention Market 2024-2029: Full Research Suite

Best Price Guarantee Length Publisher Published Date SKU
from $5,502 118 Pages Juniper Research July, 2024 JNRH19878054
Best Price Guarantee
Price from $5,502
Length 118 Pages
Publisher Juniper Research
Published Date July, 2024
SKU JNRH19878054

Our merchant fraud detection and prevention research suite provides detailed analysis of this rapidly changing market; allowing fraud prevention platform providers to gain an understanding of key fraud trends and challenges, potential growth opportunities, and the competitive environment.

Providing multiple options that can be purchased separately, the research suite includes access to data mapping the future growth of the merchant fraud detection and prevention market. The detailed study reveals the latest opportunities and trends within the market, and an insightful document containing an extensive analysis of 16 merchant fraud detection and prevention providers within the space. Aspects such as the use of artificial intelligence and machine learning by both providers and fraudsters, identity theft and synthetic identity use, and the challenges and new techniques for identifying legitimate customers are explored throughout the report. The coverage can also be purchased as a Full Research Suite, containing all of these elements, and includes a substantial discount.

Collectively, these elements provide an effective tool for understanding this constantly evolving market; allowing merchant fraud detection and prevention vendors and providers to set out their future strategies to tackle fraudulent activity among online purchases. Its unparalleled coverage makes this research suite an incredibly useful resource for gauging the future of this complex market.

Key Features
Market Dynamics: Insights into key fraud trends and market expansion challenges within the merchant fraud detection and prevention market. It addresses the challenges posed by the evolving nature of eCommerce fraud, technological advancements, barriers to adopting new merchant fraud solutions, including discerning between suspicious activity and genuine behaviour, and analysing multiple use cases where fraudulent activity occurred. The research also provides a future outlook on the landscape of eCommerce merchant fraud.
Key Takeaways & Strategic Recommendations: In-depth analysis of key development opportunities and findings within market, accompanied by key strategic recommendations for merchant fraud detection and prevention providers on how they can tackle the rise in fraudulent transactions and attempts.
Benchmark Industry Forecasts: The forecasts include data on fraud levels within airline eTickets, remote digital goods, and remote physical goods. These sectors are split by online and mobile transactions; allowing for splits by consumer eCommerce shopping preferences to be evaluated. The data also includes adoption and spend levels by eCommerce merchants on fraud prevention solutions.
Juniper Research Competitor Leaderboard: Key player capability and capacity assessment for 16 merchant fraud detection and prevention vendors, via the Juniper Research Competitor Leaderboard, featuring analysis around major players in the merchant fraud detection and prevention industry.

Please note: the online download version of this report is for a global site license.


1. Key Takeaways & Strategic Recommendations
1.1 Key Takeaways
1.2 Strategic Recommendations
2. Market Landscape
2.1 Introduction
2.2 Definitions & Scope
2.3 Types of Merchant Fraud
Figure 2.1: Visualisation of Merchant Fraud
2.3.1 First-party Fraud
i. Chargeback Fraud
ii. Friendly Fraud
iii. Policy Abuse
2.3.2 ATO Fraud
2.3.3 Other Types of Fraud
i. Clean Fraud
ii. Affiliate Fraud
iii. Botnets
iv. Triangulation Fraud
Figure 2.2: Visualisation of Triangulation Fraud
v. Synthetic Identity Fraud
2.4 Solutions Used in Merchant Fraud Detection & Prevention
2.4.1 Merchant Fraud Detection & Prevention Tools
Figure 2.3: Methods of Merchant Fraud Prevention
i. Biometrics
ii. Behavioural Analytics
iii. Tokenisation
iv. APIs
v. 3D Secure Authentication
2.5 Physical & Digital Goods
Figure 2.4: Total Value of Fraudulent CNP Transactions Globally ($m), Split by Segment, 2024-
2.5.1 Remote Physical Goods
Figure 2.5: Total Value of Fraudulent Remote Physical Goods Purchases Globally ($m), Split by 8 Key Regions, 2024-
2.5.2 Remote Digital Goods
Figure 2.6: Total Value of Fraudulent Remote Digital Goods Purchases Globally ($m), Split by 8 Key Regions, 2024-
3. Emerging Merchant Fraud Prevention Market
3.1 Key Themes & Areas Involved
3.2 Key Trends & Current Market Drivers
3.2.1 Rapid Rise of eCommerce
3.2.2 Emerging Fraudulent Methods & Tactics
i. Generative AI
ii. FaaS
3.2.3 Customers are Poorly Educated on New Technologies
3.2.4 Deepfakes
3.2.5 Cutting Business Costs
3.3 BNPL
i. BNPL Fraud Methods
ii. BNPL Fraud Prevention Methods
3.4 Technologies
3.4.1 AI
i. Benefits of AI in Merchant Fraud Prevention
Figure 3.1: AI Benefits in Merchant Fraud Prevention
ii. Drawbacks of AI in Merchant Fraud Prevention
3.4.2 ML
i. Benefits of ML in Merchant Fraud Prevention
ii. Drawbacks of ML in Merchant Fraud Prevention
3.4.3 Merchant Fraud Prevention APIs
3.5 PSD
3.5.1 How PSD2 Affects Merchants
3.6 3D S2 & Biometric Authorisation of Transactions
3.6.1 Methods of Authentication
i. OTPs
ii. Biometrics
Figure 3.2: Types of Biometric Authentication
3.6.2 3D S2 Implications
4. Segment Analysis
4.1 Introduction
4.1.1 Different Merchants Who Are Affected by Fraud
i. Generalist Retailers
ii. Specialist Retailers
iii. Streaming Services
iv. Hospitality
4.2 Remote Digital & Physical Goods
4.2.1 Digital Goods
Figure 4.1: Total Number of Transactions for Remote Digital Goods (m), Split by 8 Key Regions, 2024-
i. Video Games
ii. Music
iii. Video
iv. Ticketing
4.2.2 Physical Goods
Figure 4.2: Total Value of Remote Physical Goods Transactions Globally ($m), Split by 8 Key Regions, 2024-
i. Impact of the COVID-19 Pandemic
4.3 Key Challenges
4.3.1 Organised Fraud
i. Noir’s Organisation
ii. REKK
iii. AI Music Streaming Scam
4.3.2 Lack of Physical Biometrics
1. Juniper Research Competitor Leaderboard
1.1 Why Read This Report?
Table 1.1: Juniper Research Competitor Leaderboard Vendors: Merchant Fraud Detection & Prevention
Figure 1.2: Juniper Research Competitor Leaderboard – Merchant Fraud Detection & Prevention
Table 1.3: Juniper Research Competitor Leaderboard: Merchant Fraud Detection & Prevention Vendor Ranking
Table 1.4: Juniper Research Competitor Leaderboard Merchant Fraud Detection & Prevention – Heatmap
2. Vendor Profiles
2.1 Merchant Fraud Prevention Vendor Profiles
2.1.1 Accertify
i. Corporate
ii. Geographical Spread
iii. Key Clients & Strategic Partnerships
iv. High-level View of Offerings
Figure 2.1: Accertify’s Four Key Areas for Chargeback Management
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
2.1.2 ACI Worldwide
i. Corporate
Table 2.2: ACI Worldwide Revenue ($m), 2022-
ii. Geographical Spread
iii. Key Clients & Strategic Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
2.1.3 ClearSale
i. Corporate
Table 2.3: ClearSale Revenue ($m), 2022-
ii. Geographical Spread
iii. Key Clients & Strategic Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
2.1.4 Discover Financial Services
i. Corporate
Table 2.4: Discover Financial Services Revenue ($m), 2022-
ii. Geographical Spread
iii. Key Clients & Strategic Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
2.1.5 Forter
i. Corporate
ii. Geographical Spread
iii. Key Clients & Strategic Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
2.1.6 Fraudio
i. Corporate
ii. Geographical Spread
iii. Key Clients & Strategic Partnerships
iv. High-level View of Offerings
Figure 2.5: Fraudio’s Centralised ML AI Brain
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
2.1.7 Kount
i. Corporate
ii. Geographical Spread
iii. Key Clients & Strategic Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
2.1.8 Mastercard
i. Corporate
Table 2.6: Mastercard Revenue ($m), 2022-
ii. Geographical Spread
iii. Key Clients & Strategic Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
2.1.9 Microsoft
i. Corporate
Table 2.7: Microsoft Dynamics 365 Revenue ($m), 2022-
ii. Geographical Spread
iii. Key Clients & Strategic Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
2.1.10 Riskified
i. Corporate
Table 2.8: Riskified Revenue ($m), 2022-
ii. Geographical Spread
iii. Key Clients and Strategic Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
2.1.11 RSA Security
i. Corporate
ii. Geographical Spread
iii. Key Clients and Strategic Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
2.1.12 Signifyd
i. Corporate
ii. Geographical Spread
iii. Key Clients and Strategic Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
2.1.13 TransUnion
i. Corporate
Table 2.9: TransUnion Revenue ($m), 2022-
ii. Geographical Spread
iii. Key Clients and Strategic Opportunities
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
2.1.14 Vesta
i. Corporate
ii. Geographical Spread
iii. Key Clients and Strategic Partnerships
iv. High-level View of Offerings
Figure 2.10: Visualisation Displaying Vestas Payment Guarantee
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
2.1.15 Visa Acceptance Solutions
i. Corporate
Table 2.11: Visa Revenue ($m), 2022-
ii. Geographical Spread
iii. Key Clients and Strategic Partnerships
iv. High-level View of Offerings
Figure 2.12: How Visa Acceptance Solutions’ Payer Authentication Works
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
2.1.16 Worldpay
i. Corporate
Table 2.13: Worldpay Revenue ($m), 2022-
ii. Geographical Spread
iii. Key Clients and Strategic Partnerships
iv. High-level View of Offerings
v. Juniper Research’s View: Key Strengths & Strategic Opportunities
2.2 Juniper Research Leaderboard Assessment Methodology
2.2.1 Limitations & Interpretations
Table 2.14: Juniper Research Merchant Fraud Prevention Assessment Criteria
1. Merchant Fraud Prevention Forecast Methodology
1.1 Methodology & Assumptions
Figure 1.1: Airline Tickets Forecast Methodology
Figure 1.2: Remote Digital Goods Forecast Methodology
Figure 1.3: Remote Physical Goods Forecast Methodology
Figure 1.4: FDP Software Forecast Methodology
2. Airline Tickets Forecasts
2.1 Online Airline eTickets
2.1.1 Total Number of Online Airline eTickets Issued per Annum
Figure & Table 2.1: Total Number of Online Airline eTickets Issued Globally per annum (m), Split by 8 Key Regions, 2024-
2.1.2 Total Number of Fraudulent Online Airline eTickets Issued
Figure & Table 2.2: Total Number of Fraudulent Online Airline eTickets Issued Globally (m), Split by 8 Key Regions, 2024-
2.1.3 Total Value of Fraudulent Online Airline eTicket Transactions
Figure & Table 2.3: Total Value of Fraudulent Online Airline eTicket Transactions Globally ($m), Split by 8 Key Regions, 2024-
2.2 Mobile Airline mTickets
2.2.1 Total Number of Mobile Airline mTickets Issued per Annum
Figure & Table 2.4: Total Number of Mobile Airline mTickets Issued per Annum Globally (m), Split by 8 Key Regions, 2024-
2.2.2 Total Number of Fraudulent Mobile Airline mTickets Issued
Figure & Table 2.5: Total Number of Fraudulent Mobile Airline mTickets Issued Globally (m), Split by 8 Key Regions, 2024-
2.2.3 Total Value of Fraudulent Mobile Airline mTicket Transactions
Figure & Table 2.6: Total Value of Fraudulent Mobile Airline mTicket Transactions Globally ($m), Split b 8 Key Regions, 2024-
3. Remote Digital Goods Forecasts
3.1 Online Remote Digital Goods
3.1.1 Total Transactions for Remote Online Digital Goods Purchases, Less Airline Tickets
Figure & Table 3.1: Total Number of Transactions for Remote Online Digital Goods Purchases, Less Airline Tickets, Globally (m), Split by 8 Key Regions, 2024-
3.1.2 Total Number of Fraudulent Remote Online Digital Goods Purchases
Figure & Table 3.2: Total Number of Fraudulent Remote Digital Goods Purchases Globally (m), Split by 8 Key Regions, 2024-
3.1.3 Total Value of Fraudulent Remote Online Digital Goods Transactions
Figure & Table 3.3: Total Value of Fraudulent Remote Online Digital Goods Transactions Globally ($m), Split by 8 Key Regions, 2024-
3.2 Mobile Remote Digital Goods
3.2.1 Total Transactions for Remote Mobile Digital Goods Purchases, Less Airline Tickets
Figure & Table 3.4: Total Number of Transactions for Remote Mobile Digital Goods Purchases, Less Airline Tickets, Globally (m), Split by 8 Key Regions, 2024-
3.2.2 Total Number of Fraudulent Remote Mobile Digital Goods Purchases
Figure & Table 3.5: Total Number of Fraudulent Remote Mobile Digital Goods Purchased Globally (m), Split by 8 Key Regions, 2024-
3.2.3 Total Value of Fraudulent Remote Mobile Digital Goods Transactions
Figure & Table 3.6: Total Value of Fraudulent Remote Mobile Digital Goods Transactions Globally ($m), Split by 8 Key Regions, 2024-
4. Remote Physical Goods Forecasts
4.1 Remote Online Physical Goods
4.1.1 Total Transactions for Remote Online Physical Goods Purchases
Figure & Table 4.1: Total Transactions for Remote Online Physical Goods Purchases Globally (m), Split by 8 Key Regions, 2024-
4.1.2 Total Number of Fraudulent Remote Online Physical Goods Purchases
Figure & Table 4.2: Total Number of Fraudulent Remote Physical Goods Purchases Globally (m), Split by 8 Key Regions, 2024-
4.1.3 Total Value of Fraudulent Remote Online Physical Goods Transactions
Figure & Table 4.3: Total Value of Fraudulent Remote Online Physical Goods Transactions Globally ($m), Split by 8 Key Regions, 2024-
4.2 Remote Mobile Physical Goods
4.2.1 Total Transactions for Remote Mobile Physical Goods Purchases
Figure & Table 4.4: Total Transactions for Remote Mobile Physical Goods Purchases Globally (m), Split by 8 Key Regions, 2024-
4.2.2 Total Number of Fraudulent Remote Mobile Physical Goods Purchases
Figure & Table 4.5: Total Number of Fraudulent Remote Mobile Physical Goods Purchases (m), Split by 8 Key Regions, 2024-
4.2.3 Total Value of Fraudulent Remote Mobile Physical Goods Transactions
Figure & Table 4.6: Total Value of Fraudulent Remote Mobile Physical Goods Transactions Globally ($m), Split by 8 Key Regions, 2024-
5. FDP Software Forecasts
5.1 FDP Spend
5.1.1 Number of eCommerce Merchants That Spend on FDP
Figure & Table 5.1: Number of eCommerce Merchants That Spend on FDP Globally (m), Split by 8 Key Regions, 2024-
5.1.2 Total Value of eCommerce CNP Transactions, Including Airlines
Figure & Table 5.2: Total Value of eCommerce CNP Transactions, Including Airline, Globally ($m), Split by 8 Key Regions, 2024-
5.1.3 Total FDP Spend by eCommerce Merchants
Figure 5.3: Total FDP Spend by eCommerce Merchants Globally ($m), Split by 8 Key Regions, 2024-

$5,502

Research Assistance

US: 800.298.5699
Int'l: +1.240.747.3093
Live help
Download our eBook: How to Succeed Using Market Research

Learn how to effectively navigate the market research process to help guide your organization on the journey to success.

Download eBook

Other tasks

Cookie Settings